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The objective of the NATO Advanced Research Workshop "Learning electricity and electronics with advanced educational technology" was to bring together researchers coming from different domains. Electricity education is a domain where a lot of research has already been made. The first meeting on electricity teaching was organized in 1984 by R. Duit, W. Jung and C. von Rhoneck in Ludwigsburg (Germany). Since then, research has been going on and we can consider that the workshop was the successor of this first meeting. Our goal was not to organize a workshop grouping only people producing software in the field of electricity education or more generally in the field of physics education, even if this software was based on artificial intelligence techniques. On the contrary, we wanted this workshop to bring together researchers involved in the connection between cognitive science and the learning of a well defined domain such as electricity. So during the workshop, people doing research in physics education, cognitive psychology, and artificial intelligence had the opportunity to discuss and exchange. These proceedings reflect the different points of view. The main idea is that designing a learning environment needs the confrontation of different approaches. The proceedings are organized in five parts which reflect these different aspects.
This first volume in the International Technology Education Series offers a unique, worldwide collection of national surveys into the developments of Technology Education in the past two decades.
Proceedings of the NATO Advanced Study Institute on Advanced Educational Technology in Technology Education, held in Salford, U.K., August 17-28, 1992
Recent technological advances, particularly in microelectronics and telecommunications, biotechnology, and advanced materials, pose critical challenges and opportunities for developing countries, and for the development banks and other organizations that serve them. Those countries that fail to adapt to the transformations driven by new technologies in industry, agriculture, health, environment, energy, education, and other sectors may find it difficult to avoid falling behind. This book represents a joint effort by the World Bank and the National Research Council to survey the status and effect of technology change in key sectors and to recommend action by the development organizations, government, private sector and the scientific and technological community.
Not long ago, projections of how office technologies would revolutionize the production of documents in a high-tech future carriedmany promises. The paper less office and the seamless and problem-free sharing of texts and other work materials among co-workers werejust around the corner, we were told. To anyone who has been involved in putting together a volume of the present kind, such forecasts will be met with considerable skepticism, if not outright distrust. The diskette, the email, the fax, the net, and all the other forms of communication that are now around are powerful assets, but they do not in any way reduce the flow of paper or the complexity of coordinating activities involved in producing an artifact such as a book. Instead, the reverse seems to be true. Obviously, the use of such tools requires considerable skill at the center of coordination, to borrow an expression from a chapter in this volume. As editors, we have been fortunate to have Ms. Lotta Strand, Linkoping University, at the center of the distributed activity that producing this volume has required over the last few years. With her considerable skill and patience, Ms. Strand and her work provide a powerful illustration of the main thrust of most of the chapters in this volume: Practice is a coordination of thinking and action, and many things had to be kept in mind during the production of this volume.
Issues relating to the emergence, persistence, and stability of cooperation among social agents of every type are widely recognized to be of paramount importance. They are also analytically difficult and intellectually challenging. This book, arising from a NATO Advanced Study Institute held at SUNY in 1994, is an up-to-date presentation of the contribution of game theory to the subject. The contributors are leading specialists who focus on the problem from the many different angles of game theory, including axiomatic bargaining theory, the Nash program of non-cooperative foundations, game with complete information, repeated and sequential games, bounded rationality methods, evolutionary theory, experimental approaches, and others. Together they offer significant progress in understanding cooperation.
Recent developments in computer science clearly show the need for a better theoretical foundation for some central issues. Methods and results from mathematical logic, in particular proof theory and model theory, are of great help here and will be used much more in future than previously. This book provides an excellent introduction to the interplay of mathematical logic and computer science. It contains extensively reworked versions of the lectures given at the 1997 Marktoberdorf Summer School by leading researchers in the field. Topics covered include: proof theory and specification of computation (J.-Y. Girard, D. Miller), complexity of proofs and programs (S. R. Buss, S. S. Wainer), computational content of proofs (H. Schwichtenberg), constructive type theory (P. Aczel, H. Barendregt, R. L. Constable), computational mathematics, (U. Martin), rewriting logic (J. Meseguer), and game semantics (S. Abramski).
Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.
Modern information processing systems show such complex properties as distribution, parallelism, interaction, time dependency, and nondeterminism. For critical applications, mathematical methods are needed to model the systems and to support their development and validation. Impressive progress in mathematical methods for programming software systems makes it possible to think about unifying the different approaches. This book gives a comprehensive overview of existing methods and presents some of the most recent results in applying them. The main topics are: advanced programming techniques, foundations of systems engineering, mathematical support methods, and application of the methods. The approaches presented are illustrated by examples and related to other approaches.
Complex high-technology devices are in growing use in industry, service sectors, and everyday life. Their reliability and maintenance is of utmost importance in view of their cost and critical functions. This book focuses on this theme and is intended to serve as a graduate-level textbook and reference book for scientists and academics in the field. The chapters are grouped into five complementary parts that cover the most important aspects of reliability and maintenance: stochastic models of reliability and maintenance, decision models involving optimal replacement and repair, stochastic methods in software engineering, computational methods and simulation, and maintenance management systems. This wide range of topics provides the reader with a complete picture in a self-contained volume.